Validate before scale
Pilot the ingestion and de-identification pipeline on a controlled subset before expanding to the full planned dataset.
Platform example / architecture proposal
Secure Medical Imaging Data Platform
A proposed implementation pipeline for secure storage, de-identification, governed access, and model training across approximately 40,000 angiography and echocardiography studies.
Explore platformPlanned scope~40,000 studies
ModalitiesAngiography + echo
Proposal statusDraft for review
Control plane concept
A usable interface around protected infrastructure.
This interface concept shows how operators could view ingestion, review gates, access requests, training jobs, and audit events.
Workflow signal
Governed by designAudit stream
Study batch receivedIdentity recorded
QA sample assignedRelease gate pending
Partner request linkedAppend-only event
Implementation architecture
Six connected layers, one explicit trust model.
Raw identified patient data and the isolated identity mapping would remain inside the approved local environment. Select a stage to explore the responsibilities and controls proposed for that layer.
Proposed / On-premises
Verified study ingestion
The proposal uses encrypted batch transfer with manifests, checksums, and a controlled landing zone.
Each study would be tracked by modality, size, checksum, arrival date, and verification status before entering the working system.
Make every release attributable
Connect access, training, review, and model delivery to approved identities and proposed append-only audit events.
Move compute, not raw data
The proposed design would run partner workloads beside protected data and release only reviewed artifacts or vetted anonymized copies through approved controls.
Related work
Planning a governed medical-data platform?
We can help translate the data boundary, access model, and research workflow into an implementation architecture.
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